def build_SIREN_model(dimensions):
actual_model = tf.keras.Sequential()
actual_model.add(Layers.FirstSirenLayer(dimensions[0], dimensions[1]))
other_layers = []
for dim0, dim1 in zip(dimensions[1:-2], dimensions[2:-1]):
actual_model.add(Layers.MiddleSirenLayer(dim0, dim1))
actual_model.add(Layers.FinalSirenLayer(dimensions[-2], dimensions[-1]))
return actual_model
def build_orthogonal_model_with_SIREN_encoder(dimensions, use_bias=False):
actual_model = tf.keras.Sequential()
actual_model.add(Layers.FirstSirenLayer(dimensions[0], dimensions[1]))
other_layers = []
for dim0, dim1 in zip(dimensions[1:-2], dimensions[2:-1]):
actual_model.add(Layers.Sinusoidal_BSNN(dim0, dim1, use_bias=use_bias))
actual_model.add(
Layers.Sinusoidal_BSNN(dimensions[-2],
dimensions[-1],
is_last=True,
use_bias=use_bias))
return actual_model
